Skip to main content

eQuimageLab is a tool to postprocess astronomical images with JupyterLab notebooks

Project description

eQuimageLab is a Python package to postprocess astronomical images with JupyterLab notebooks

Author: Yann-Michel Niquet (https://astro.ymniquet.fr)

Why use JupyterLab notebooks to process your images ?

  • You can easily modify/add/delete/move any operation in your workflow without the need to manually undo/redo the others.
  • You can tweak your notebook any time (shall you have new ideas to deal with an image) and reprocess in a few minutes.
  • You benefit from the full Python ecosystem to help you make the most out of your images (Numpy, Scikit-image, etc...).
  • ...

Enjoy the power of Python to process your images !

Installation

eQuimageLab is developed in Python 3. To install the latest version of eQuimageLab, open a linux terminal/windows command prompt and run:

pip install --user eQuimageLab

pip will automatically download eQuimageLab and the missing Python modules if necessary (Dash, Plotly, etc...). You can then launch eQuimageLab by typing:

eQuimagelab

in this same terminal. You can also create a link to eQuimageLab from your desktop; an icon is distributed for this purpose with the Python package.

Usage

The complete documentation is available at: https://astro.ymniquet.fr/codes/equimagelab/docs/

Known bugs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

equimagelab-2.1.0.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

equimagelab-2.1.0-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file equimagelab-2.1.0.tar.gz.

File metadata

  • Download URL: equimagelab-2.1.0.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for equimagelab-2.1.0.tar.gz
Algorithm Hash digest
SHA256 5616b0938f268addd2adafc7b3b4efd8b5857a655b02d83fe0692cc7627e09e4
MD5 494adbb544ef3749489e708b77581708
BLAKE2b-256 b425ede2dc19febfc3b761f810144c10080d5ee299a66413e0cc3201cda44577

See more details on using hashes here.

Provenance

The following attestation bundles were made for equimagelab-2.1.0.tar.gz:

Publisher: python-publish.yml on ymniquet/eQuimageLab

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file equimagelab-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: equimagelab-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for equimagelab-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c1ca1cebf3bc814e40dfdf19132f62663d69c2bc078c5314ed70acdf1cf6633b
MD5 e0bb9e3155d536345061ff9d59965578
BLAKE2b-256 ed01208bc4cb774dcc9953f9995f232472aef8bac59e21ef8f454241f2d0cd6d

See more details on using hashes here.

Provenance

The following attestation bundles were made for equimagelab-2.1.0-py3-none-any.whl:

Publisher: python-publish.yml on ymniquet/eQuimageLab

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page